Cargando…
Data of protein-RNA binding sites
Despite the increasing number of protein-RNA complexes in structure databases, few data resources have been made available which can be readily used in developing or testing a method for predicting either protein-binding sites in RNA sequences or RNA-binding sites in protein sequences. The problem o...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219607/ https://www.ncbi.nlm.nih.gov/pubmed/28070546 http://dx.doi.org/10.1016/j.dib.2016.12.041 |
_version_ | 1782492484757094400 |
---|---|
author | Lee, Wook Park, Byungkyu Choi, Daesik Han, Kyungsook |
author_facet | Lee, Wook Park, Byungkyu Choi, Daesik Han, Kyungsook |
author_sort | Lee, Wook |
collection | PubMed |
description | Despite the increasing number of protein-RNA complexes in structure databases, few data resources have been made available which can be readily used in developing or testing a method for predicting either protein-binding sites in RNA sequences or RNA-binding sites in protein sequences. The problem of predicting protein-binding sites in RNA has received much less attention than the problem of predicting RNA-binding sites in protein. The data presented in this paper are related to the article entitled “PRIdictor: Protein-RNA Interaction predictor” (Tuvshinjargal et al. 2016) [1]. PRIdictor can predict protein-binding sites in RNA as well as RNA-binding sites in protein at the nucleotide- and residue-levels. This paper presents four datasets that were used to test four prediction models of PRIdictor: (1) model RP for predicting protein-binding sites in RNA from protein and RNA sequences, (2) model RaP for predicting protein-binding sites in RNA from RNA sequence alone, (3) model PR for predicting RNA-binding sites in protein from protein and RNA sequences, and (4) model PaR for predicting RNA-binding sites in protein from protein sequence alone. The datasets supplied in this article can be used as a valuable resource to evaluate and compare different methods for predicting protein-RNA binding sites. |
format | Online Article Text |
id | pubmed-5219607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-52196072017-01-09 Data of protein-RNA binding sites Lee, Wook Park, Byungkyu Choi, Daesik Han, Kyungsook Data Brief Data Article Despite the increasing number of protein-RNA complexes in structure databases, few data resources have been made available which can be readily used in developing or testing a method for predicting either protein-binding sites in RNA sequences or RNA-binding sites in protein sequences. The problem of predicting protein-binding sites in RNA has received much less attention than the problem of predicting RNA-binding sites in protein. The data presented in this paper are related to the article entitled “PRIdictor: Protein-RNA Interaction predictor” (Tuvshinjargal et al. 2016) [1]. PRIdictor can predict protein-binding sites in RNA as well as RNA-binding sites in protein at the nucleotide- and residue-levels. This paper presents four datasets that were used to test four prediction models of PRIdictor: (1) model RP for predicting protein-binding sites in RNA from protein and RNA sequences, (2) model RaP for predicting protein-binding sites in RNA from RNA sequence alone, (3) model PR for predicting RNA-binding sites in protein from protein and RNA sequences, and (4) model PaR for predicting RNA-binding sites in protein from protein sequence alone. The datasets supplied in this article can be used as a valuable resource to evaluate and compare different methods for predicting protein-RNA binding sites. Elsevier 2016-12-29 /pmc/articles/PMC5219607/ /pubmed/28070546 http://dx.doi.org/10.1016/j.dib.2016.12.041 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Lee, Wook Park, Byungkyu Choi, Daesik Han, Kyungsook Data of protein-RNA binding sites |
title | Data of protein-RNA binding sites |
title_full | Data of protein-RNA binding sites |
title_fullStr | Data of protein-RNA binding sites |
title_full_unstemmed | Data of protein-RNA binding sites |
title_short | Data of protein-RNA binding sites |
title_sort | data of protein-rna binding sites |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219607/ https://www.ncbi.nlm.nih.gov/pubmed/28070546 http://dx.doi.org/10.1016/j.dib.2016.12.041 |
work_keys_str_mv | AT leewook dataofproteinrnabindingsites AT parkbyungkyu dataofproteinrnabindingsites AT choidaesik dataofproteinrnabindingsites AT hankyungsook dataofproteinrnabindingsites |